Machine Generated Data
Tags
Amazon
created on 2019-10-29
Clarifai
created on 2019-10-29
Imagga
created on 2019-10-29
old | 46.7 | |
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wall | 40.5 | |
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stucco | 33.7 | |
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grunge | 31.5 | |
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vintage | 30.6 | |
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texture | 30.6 | |
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architecture | 27.4 | |
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building | 26.4 | |
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ancient | 24.2 | |
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door | 24 | |
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window | 23.4 | |
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aged | 22.6 | |
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dirty | 22.6 | |
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antique | 22.5 | |
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retro | 21.3 | |
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textured | 19.3 | |
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brick | 18.4 | |
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stone | 17.5 | |
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weathered | 17.1 | |
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grungy | 17.1 | |
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house | 16.8 | |
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structure | 16.2 | |
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brown | 16.2 | |
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rough | 15.5 | |
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detail | 15.3 | |
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history | 15.2 | |
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art | 15.1 | |
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surface | 15 | |
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frame | 15 | |
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city | 15 | |
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decoration | 14.8 | |
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paint | 14.5 | |
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paper | 14.2 | |
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device | 14.1 | |
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exterior | 13.8 | |
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historic | 13.8 | |
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construction | 13.7 | |
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pattern | 13.7 | |
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graffito | 12.9 | |
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rust | 12.5 | |
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damaged | 12.4 | |
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urban | 12.2 | |
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empty | 12 | |
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blank | 12 | |
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abandoned | 11.7 | |
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material | 11.6 | |
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travel | 11.3 | |
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street | 11 | |
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arch | 10.9 | |
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wood | 10.8 | |
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tourism | 10.7 | |
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worn | 10.5 | |
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drawing | 10.3 | |
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black | 10.2 | |
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design | 10.1 | |
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cement | 9.7 | |
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decay | 9.6 | |
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sketch | 9.4 | |
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historical | 9.4 | |
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glass | 9.3 | |
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space | 9.3 | |
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page | 9.3 | |
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color | 8.9 | |
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wooden | 8.8 | |
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home | 8.8 | |
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torn | 8.7 | |
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parchment | 8.6 | |
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yellow | 8.6 | |
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concrete | 8.6 | |
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rusty | 8.6 | |
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wallpaper | 8.4 | |
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snow | 7.9 | |
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rural | 7.9 | |
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crack | 7.7 | |
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messy | 7.7 | |
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broken | 7.7 | |
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culture | 7.7 | |
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stained | 7.7 | |
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architectural | 7.7 | |
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village | 7.7 | |
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painted | 7.6 | |
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close | 7.4 | |
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tourist | 7.4 | |
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Google
created on 2019-10-29
Painting | 86.2 | |
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Art | 85 | |
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Modern art | 84.8 | |
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Picture frame | 83.9 | |
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Illustration | 80.4 | |
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Visual arts | 77.8 | |
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Drawing | 74.6 | |
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Printmaking | 65.7 | |
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Room | 65.7 | |
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Artwork | 60.6 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 17-29 |
Gender | Male, 50.2% |
Calm | 49.6% |
Disgusted | 49.6% |
Sad | 49.5% |
Angry | 50.3% |
Confused | 49.5% |
Fear | 49.6% |
Happy | 49.5% |
Surprised | 49.5% |
Feature analysis
Amazon
Person | 98.9% | |
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Text analysis
Amazon
fe